What are the key outcomes of the courses?
- THINK OBJECTIVELY: to become familiar with the thinking methodology behind statistical thinking
- UNDERSTAND OBJECTIVELY: to develop a profound understanding of the key statistical concepts
- SEE OBJECTIVELY: to become familiar with causal thinking concepts
What will you do during the course?
- EXPLORE the importance of objective information when solving problems and developing strategies
- EQUIP yourself with tools, techniques and data thinking; to support you when in search of accurate and objective information
- IMPROVE your understanding about the reliability of data insights provided by data analysts, scientists and media reporting
- EXPAND your understanding about why ‘correlation is not causation’; and how causal thinking impacts analysis results and obtained insights.
More information about the covered topics is provided in the above tabs: ‘Course 1’ and ‘Course 2’.
About the learning methodology
The courses are organised in an interactive way and comprise a mixture of presentations, discussions, and individual work. A deep-learning and experiential teaching approaches are used. Participants’ thinking is challenged by a number of real world examples. The interaction among participants and instructor is important, thus, each course is limited to 15 participants.
About the instructor
Dr. Ana Kolar has significant experience in teaching at university level. She is able to introduce and explain complex topics in a simple manner and she strives towards an educational approach that is based on experiential learning. Ana is the creator of the new approach for developing statistical thinking skills – the essential skills for effective decision-making in the digital era. Read more about Ana here.